Open Science at Web-Scale: Optimising Participation and Predictive Potential

JISC has released Open Science at Web-Scale: Optimising Participation and Predictive Potential.

Here's an excerpt:

This Report has attempted to draw together and synthesise evidence and opinion from a wide range of sources. Examples of data intensive science at extremes of scale and complexity which enable forecasting and predictive assertions, have been described together with compelling exemplars where an open and participative culture is transforming science practice. It is perhaps worth noting that the pace of change in this area is such, that it has been a challenging piece to compose and at best, it can only serve as a subjective snapshot of a very dynamic data space. . . .

The perspective of openness as a continuum is helpful in positioning the range of behaviours and practices observed in different disciplines and contexts. By separating the twin aspects of openness (access and participation), we can begin to understand the full scope and potential of the open science vision. Whilst a listing of the perceived values and benefits of open science is given, further work is required to provide substantive and tangible evidence to justify and support these assertions. Available evidence suggests that transparent data sharing and data re-use are far from commonplace. The peer production approaches to data curation which have been described, are really in their infancy but offer considerable promise as scaleable models which could be migrated to other disciplines. The more radical open notebook science methodologies are currently on the "fringe" and it is not clear whether uptake and adoption will grow in other disciplines and contexts.

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